Difference: FRCVLabMLSA (1 vs. 14)

Revision 142019-05-29 - LabTech

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Revision 132019-05-22 - LabTech

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 Our objective is to provide open-source tools that help analyze the way multilingual code interoperates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create call graphs that represent the relationship between C/C++, Python, and JavaScript programs. The MultiLingual Static Software Analysis software tool (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other and produces a multi-lingual call graph.

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The MLSA software tool reviews function (procedure) calls within a set of source code files. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments and what files they are in. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuery's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. For more details, read on.

Background

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The MLSA software tool reviews function (procedure) calls within a set of source code files. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments and what files they are in. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls C/C++ procedure using pybind11 interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuery's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. For more details, read on.

Background

 

Architecture

System Requirements

Revision 122017-11-02 - AnneMarieBogar

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  Our objective is to provide open-source tools that help analyze the way multilingual code interoperates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create call graphs that represent the relationship between C/C++, Python, and JavaScript programs. The MultiLingual Static Software Analysis software tool (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other and produces a multi-lingual call graph.
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The MLSA software tool reviews function (procedure) calls within a set of source code files. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments and what files they are in. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuery's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. For more details, read on.

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Revision 112017-07-21 - AnneMarieBogar

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Revision 102017-07-14 - DamianLyons

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MLSA_logo.png MultiLingual Static Analyis

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MLSA_logo.png MultiLingual Static Software Analyis

 
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The MultiLingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create graphs that represent the relationship between C/C++, Python, and JavaScript programs.
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Our objective is to provide open-source tools that help analyze the way multilingual code interoperates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create call graphs that represent the relationship between C/C++, Python, and JavaScript programs. The MultiLingual Static Software Analysis software tool (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other and produces a multi-lingual call graph.
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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuerry's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript /Python calls.

More Details

Background

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>

The MLSA software tool reviews function (procedure) calls within a set of source code files. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments and what files they are in. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuery's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. For more details, read on.

Background

 

Architecture

System Requirements

Revision 92017-07-12 - AnneMarieBogar

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Project Description

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MLSA_logo.png MultiLingual Static Analyis

 
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The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create graphs that represent the relationship between C/C++, Python, and JavaScript programs.
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The MultiLingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create graphs that represent the relationship between C/C++, Python, and JavaScript programs.

multilingual_system.png

 
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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuerry's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript /Python calls.

More Details

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Background

Architecture

 

System Requirements

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Known Issues for Version 0.1

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Revision 82017-07-12 - AnneMarieBogar

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Project Description

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The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Python, and Javascript.
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The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step is to create graphs that represent the relationship between C/C++, Python, and JavaScript programs.
 
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multilingual_system.png

The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuerry's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript /Python calls.

>
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<center> multilingual_system.png </center>

The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuerry's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript /Python calls.

 

More Details

System Requirements

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Persons/group who can view/change the page:
 

Revision 72017-07-11 - AnneMarieBogar

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Project Description

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The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Java, Javascript and Fortran.
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The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Python, and Javascript.
 
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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C, Python and JavaScript, and in which a C program calls Python code through the python.h interface or a Python program calls JavaScript code through PyV8's eval function. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript/Python calls.

>
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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C/C++, Python and JavaScript, and in which a C/C++ program calls Python code through the python.h interface, a Python program calls JavaScript code through PyV8 's eval function, or a JavaScript program calls Python code through JQuerry's ajax command. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript /Python calls.

 

More Details

System Requirements

Revision 62017-04-11 - MaggieGates

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 The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Java, Javascript and Fortran.

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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C and in Python, and in which a C program calls Python code through the python.h interface. The result in all cases is a call graph that includes procedures in both languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls.

>
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The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C, Python and JavaScript, and in which a C program calls Python code through the python.h interface or a Python program calls JavaScript code through PyV8's eval function. The result in all cases is a call graph that includes procedures in all three languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls, C/JavaScript calls, and JavaScript/Python calls.

 

More Details

System Requirements

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-- (c) Fordham University Robotics and Computer Vision

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META FILEATTACHMENT attachment="multilingual_system.png" attr="" comment="multilingual system" date="1469630671" name="multilingual_system.png" path="multilingual_system.png" size="49163" user="DamianLyons" version="1"

Revision 52016-07-28 - BrunoVieiro

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Revision 42016-07-27 - BrunoVieiro

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Revision 32016-07-27 - BrunoVieiro

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  The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Java, Javascript and Fortran.
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Figure 1: Multilingual System
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  The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C and in Python, and in which a C program calls Python code through the python.h interface. The result in all cases is a call graph that includes procedures in both languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls.

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Revision 22016-07-27 - DamianLyons

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  The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Java, Javascript and Fortran.

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multilingual_system.png

Figure 1: Multilingual System

 The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C and in Python, and in which a C program calls Python code through the python.h interface. The result in all cases is a call graph that includes procedures in both languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls.

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-- (c) Fordham University Robotics and Computer Vision

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META FILEATTACHMENT attachment="multilingual_system.png" attr="" comment="multilingual system" date="1469630671" name="multilingual_system.png" path="multilingual_system.png" size="49163" user="DamianLyons" version="1"

Revision 12016-07-26 - DamianLyons

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Project Description

The Multi-Lingual Static Analysis (MLSA, pronounced Melissa for convenience) is a tool that analyzes software that is written in multiple languages and in which the languages call each other. The objective is to provide open-source tools that help analyze the way multilingual code inter operates to address security issues, software design and refactoring, efficiency and correctness. The first step in the project is to address multilingual call graphs for C/C++, Java, Javascript and Fortran.

The first tool set produced in this project reviews function (procedure) calls within source code. It generates a call graph in csv/graphviz format with formatted information about function calls and their arguments. The tool is currently capable of analyzing programs in C and in Python, and in which a C program calls Python code through the python.h interface. The result in all cases is a call graph that includes procedures in both languages showing their mutual call relationships. We are building up a database of multilingual code and evaluating the performance of this first version.

Immediate extensions include extending how much of the python.h interface can be handled by the tool. At the moment only the “SimpleFile” interface is handled. The next step is handling mutual C/Python calls.

More

System Requirements

Installation

Execution

Process Description

Known Issues

Permissions

Persons/group who can view/change the page:

-- (c) Fordham University Robotics and Computer Vision

 
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